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Does climate influence energy demand? A regional analysis

机译:气候会影响能源需求吗?区域分析

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The duality of cost minimization is used to examine the effects of climate change on US sectoral climatic regional energy demands from 1970 to 2014. The first order conditions of transcendental logarithm cost function provide sectorial compensated demands for energy. A system of demand share equations or sectorial compensated demand for energy is explained by exogenous prices, technology and distribution of climatic variables i.e. temperature and precipitation is estimated. The distribution includes the downside and upside first moment, i.e., mean and downside and upside second moment, i.e., variance. The estimated parameters are used to construct energy demand cross-price elasticities (CPE) and Allen elasticities of substitution (AES) for nine climatic regions. The Southwest, Northeast, and South are sensitive to rainfall distributions especially the transportation and industrial sectors while the Northeast, Central, and South are affected by temperature variations affecting residential and industrial sector energy use. The commercial sector uses the least energy because of improved technological changes. Consequently, there are high substitutions of commercial energy for both residential and industrial. The transportation sector has the least price and technical substitutions.
机译:成本最小化的二元性用于检验1970年至2014年气候变化对美国部门气候区域能源需求的影响。先验对数成本函数的一阶条件提供了部门补偿的能源需求。外需价格,技术和气候变量的分布即温度和降水量的估算说明了需求份额方程或部门补偿能源需求的系统。该分布包括下行和上行第一时刻,即均值,下行和上行第二时刻,即方差。估计的参数用于构造九个气候区域的能源需求交叉价格弹性(CPE)和艾伦替代弹性(AES)。西南,东北和南部对降雨分布敏感,尤其是运输和工业部门,而东北,中部和南部则受温度变化的影响,这些温度变化会影响居民和工业部门的能源使用。由于技术进步的改善,商业部门消耗的能源最少。因此,住宅和工业都有商业能源的高度替代。运输部门的价格和技术替代品最少。

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